Triple
T5894971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TJ Holowaychuk |
E131079
|
entity |
| Predicate | alias |
P39
|
FINISHED |
| Object |
visionmedia
visionmedia is the online alias of TJ Holowaychuk, a prolific open-source developer known for creating popular Node.js and Go libraries and tools.
|
E553120
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: visionmedia | Statement: [TJ Holowaychuk, alias, visionmedia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: visionmedia Context triple: [TJ Holowaychuk, alias, visionmedia]
-
A.
VIS
VIS is the IATA airport code for Visalia Municipal Airport in Visalia, California, United States.
-
B.
Wistia
Wistia is a video hosting and marketing platform focused on helping businesses create, manage, and analyze video content for sales and marketing.
-
C.
TVJS
TVJS is a JavaScript framework used for building interactive tvOS applications, often in conjunction with TVMLKit for Apple TV user interfaces.
-
D.
Plotly
Plotly is an interactive, open-source graphing and data visualization library widely used in Python for creating rich, web-based charts and dashboards.
-
E.
VIDN
VIDN is the four-letter ICAO airport code assigned to Noida International Airport in Uttar Pradesh, India.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: visionmedia Triple: [TJ Holowaychuk, alias, visionmedia]
Generated description
visionmedia is the online alias of TJ Holowaychuk, a prolific open-source developer known for creating popular Node.js and Go libraries and tools.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: visionmedia Target entity description: visionmedia is the online alias of TJ Holowaychuk, a prolific open-source developer known for creating popular Node.js and Go libraries and tools.
-
A.
VIS
VIS is the IATA airport code for Visalia Municipal Airport in Visalia, California, United States.
-
B.
Wistia
Wistia is a video hosting and marketing platform focused on helping businesses create, manage, and analyze video content for sales and marketing.
-
C.
TVJS
TVJS is a JavaScript framework used for building interactive tvOS applications, often in conjunction with TVMLKit for Apple TV user interfaces.
-
D.
Plotly
Plotly is an interactive, open-source graphing and data visualization library widely used in Python for creating rich, web-based charts and dashboards.
-
E.
VIDN
VIDN is the four-letter ICAO airport code assigned to Noida International Airport in Uttar Pradesh, India.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036f3364c81909353f62ca483f24f |
completed | March 22, 2026, 6:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b1558fa48190a6ecde69c1477863 |
completed | March 23, 2026, 3:19 a.m. |
| NEDg | Description generation | batch_69c0b2442bf881908aeaecb46463e32d |
completed | March 23, 2026, 3:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0b2bc8b9c8190ab642d317056b1de |
completed | March 23, 2026, 3:25 a.m. |
Created at: March 22, 2026, 3:58 p.m.